Welcome to PyFWI’s documentation!

PyFWI is an open source Python package to perform seismic modeling and full-waveform inversion (FWI) in elastic media. This package is implemented in time domain and coded using GPU programming (PyOpenCL) to accelerate the computation.

If you have any questions about PyFWI, please use the following this link.

If you have any technical questions about FWI, TL-FWI, or PyFWI, please visit my personal website. All my publications are available there. I will be happy to assist if you contact me via email.

For bugs, developments, and errors, please use issues in the GitHub repository available here to ask your questions.

Getting started

• Installation
• Simple Gradient Computation
• Simple FWI Example

Forward modeling

• Synthetic model
• Acquisition
• Wave propagation

Inversion

• Gradient estimation
• Full-waveform inversion
• Time-lapse full-waveform inversion

Tools

• Regularization
• Gradient switching
• Cost Function
• Visualization

Rock physics

• Rock physics

Deep learning

• PyFWI Within PyTorch

Citing PyFWI

 @article{mardan2023pyfwi,
title = {PyFWI: {A Python} package for full-waveform inversion and reservoir monitoring},
author = {Mardan, Amir and Giroux, Bernard and Fabien-Ouellet, Gabriel},
journal = {SoftwareX},
volume = {22},
pages = {101384},
year = {2023},
publisher = {Elsevier},
doi = {10.1016/j.softx.2023.101384}
 }